code: def test_fbeta_worst_score(self, average, beta):
      y_true = [[0, 0, 0], [0, 1, 0], [0, 0, 1]]
      y_pred = [[0.7, 0.7, 0.7], [1, 0, 0], [0.9, 0.8, 0]]
      self._run_test(
          y_true,
          y_pred,
          None,
          average=average,
          beta=beta,
          threshold=0.66,
          reference_result=0.0,
      )
  
file_path: keras/keras/metrics/f_score_metrics_test.py
imports: import numpy
  from absl.testing import parameterized
  from keras import testing
  from keras.metrics import f_score_metrics
label_desc: Use image node_id 4 for calling the FBetaScoreTest obj's underlying member method code with example usage: obj.test_fbeta_worst_score(average, beta) without return types